Éric Cua
Impact in
-
- Antibiotic Use and Resistance
- Infectious Diseases top 5%
- HIV/AIDS Research and Interventions
- HIV/AIDS drug development and treatment
Papers in
-
- HIV/AIDS Research and Interventions 19
- HIV/AIDS drug development and treatment 14
- Epidemiology 17
- HIV, Drug Use, Sexual Risk 6
- Co-authors
- P. Dellamonica (17 shared papers)C. Pulcini (8 shared papers)Johan Courjon (6 shared papers)Jean‐Michel Molina (18 shared papers)Luce Landraud (3 shared papers)E Bernard (7 shared papers)V. Mondain (6 shared papers)P.-M. Roger (3 shared papers)
- Journals
- European Journal of Clinical Microbiology & Infectious Diseases (6 papers)HIV Medicine (3 papers)Open Forum Infectious Diseases (3 papers)Journal of Antimicrobial Chemotherapy (3 papers)Sexually Transmitted Infections (2 papers)
- Partner nations
- FranceUnited StatesCanada
In The Last Decade
Éric Cua
73 papers receiving 986 citations
Peers
Comparison fields: 5 of 95
- Applied Microbiology and Biotechnology 87
- Infectious Diseases 394
- Virology 85
- Hepatology 130
- Epidemiology 329
Countries citing papers authored by Éric Cua
This map shows the geographic impact of Éric Cua's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Éric Cua with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Éric Cua more than expected).
Fields of papers citing papers by Éric Cua
This network shows the impact of papers produced by Éric Cua. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Éric Cua. The network helps show where Éric Cua may publish in the future.
Co-authors
The 25 scholars most cited alongside Éric Cua, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 89 | |
| 2 | 2007 | 74 | |
| 3 | 2019 | 58 | |
| 4 | 2018 | 47 | |
| 5 | 2008 | 45 | |
| 6 | 2012 | 38 | |
| 7 | 2017 | 32 | |
| 8 | 2021 | 30 | |
| 9 | 2002 | 29 | |
| 10 | 2015 | 27 | |
| 11 | 2011 | 26 | |
| 12 | 2012 | 23 | |
| 13 | 2019 | 23 | |
| 14 | 2019 | 22 | |
| 15 | 2018 | 21 | |
| 16 | 2017 | 21 | |
| 17 | 2002 | 20 | |
| 18 | 2009 | 18 | |
| 19 | 2002 | 17 | |
| 20 | 2020 | 17 |
About Éric Cua
Éric Cua is a scholar working on Infectious Diseases, Epidemiology, Surgery, Virology and Neurology, having authored 76 papers that have together received 1.0k indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (19 papers), HIV/AIDS drug development and treatment (14 papers), HIV Research and Treatment (8 papers), HIV, Drug Use, Sexual Risk (6 papers), Orthopedic Infections and Treatments (4 papers), Streptococcal Infections and Treatments (3 papers), Adolescent Sexual and Reproductive Health (3 papers) and Hepatitis C virus research (3 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (87 citations), Infectious Diseases (394 citations), Virology (85 citations), Hepatology (130 citations) and Epidemiology (329 citations). Éric Cua has collaborated with scholars based in France, United States and Canada. Frequent co-authors include P. Dellamonica, C. Pulcini, Johan Courjon, Jean‐Michel Molina, Luce Landraud, E Bernard, V. Mondain, P.-M. Roger, Laurent Cotte and Jacqueline Cottalorda. Their work appears in journals such as European Journal of Clinical Microbiology & Infectious Diseases, HIV Medicine, Open Forum Infectious Diseases, Journal of Antimicrobial Chemotherapy and Sexually Transmitted Infections.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.